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The Standard

AI Software Engineer – IV

The Standard

AI Software Engineer IV developing full-stack features across web platform for web-based AI products. Solving complex problems from data model to user interface while mentoring engineers.

Posted 7/20/2026full-timeRemote • Oregon • 🇺🇸 United StatesSeniorLead💰 $131,750 - $223,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack software engineering, with a strong focus on API design, cloud infrastructure, and DevOps practices. Proven ability to lead projects, mentor teams, and deliver high-quality, maintainable code in an Agile environment.

Highest-signal resume keywords
Full-Stack Software EngineeringAPI Design and DevelopmentCloud Infrastructure ManagementDevOps PracticesProject Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AngularNode.jsPythonFastAPIFlaskAzure Application GatewayAPI ManagementTerraformCI/CD PipelinesLoad Testing
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
Azure DevOpsGitHub ActionsApache JMeterSOAPUIDatabricksMLflow
Industry Keywords
Agile MethodologyOperational ExcellenceData EngineeringAPI SecurityOAuth2

Tech Stack

Tools & technologies
AngularApacheAzureCloudFlaskJavaScriptJMeterNeo4jNode.jsPythonTerraform

About the role

Key responsibilities & impact
  • Design and build full-stack features, taking ownership from technical design through implementation, testing, deployment and ongoing operation.
  • Develop responsive, accessible user interfaces and the backend services and APIs that power them.
  • Lead the technical design of medium-to-large projects and break them into clear, actionable work for the team.
  • Write well-tested, maintainable code and uphold engineering standards through thorough code review.
  • Improve the performance, reliability, scalability and operability of the systems you own, including cloud infrastructure, deployment workflows and reduction of operational toil.
  • Mentor engineers, share knowledge and help grow the technical skills of the team.
  • Collaborate with product managers and designers to scope requirements and translate them into shippable solutions.
  • Participate in an on-call rotation and contribute to a strong culture of operational excellence.
  • Collaborate with Data Scientists and Machine Learning Engineers to make their models fast, accessible, transparent, and safe.
  • Support reliable integrations with Azure Databricks, DevOps tooling and related data platform services where needed.

Requirements

What you’ll need
  • A Bachelor’s degree in Software Engineering, Computer Science or Information Systems, or equivalent experience as a substitute, is required.
  • 8+ years of professional software engineering experience building and operating production web applications.
  • Strong proficiency across the stack, including a modern frontend framework (preferably Angular) and a backend language (for example, Node.js or Python).
  • Strong skills in implementing Python API design patterns using frameworks like FastAPI or Flask.
  • Solid experience designing APIs and working with relational and non-relational databases and graph databases such as Neo4j.
  • Demonstrable experience in configuring and implementing Azure Application Gateway and API management solutions like Azure API Management or Kong Konnect.
  • Hands-on experience implementing and optimizing API applications for sub-second performance.
  • Experience in load testing REST API applications with tools like Apache JMeter or SOAPUI.
  • Experience in developing API applications to include package/dependency management tools (e.g., Poetry) and functional testing (e.g., Pytest, PyLint).
  • A track record of leading projects, making sound architectural decisions and delivering on time.
  • Experience with cloud infrastructure, DevOps practices and infrastructure management, preferably using Azure and Terraform.
  • Working knowledge of data engineering concepts, including Databricks, MLflow and production data pipelines.
  • Experience with cloud WAF configuration (Imperva, Azure WAF or similar) and API security policies like OAuth2/OIDC, JWT.
  • Experience building and maintaining CI/CD pipelines and Git-based release workflows using Azure DevOps, GitHub Actions, ArgoCD or similar tools.
  • Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.

Benefits

Comp & perks
  • A rich benefits package including medical, dental, vision and a 401(k) plan with matching company contributions
  • An annual incentive bonus plan
  • Generous paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually — PTO increases with tenure
  • A supportive, responsive management approach and opportunities for career growth and advancement
  • Paid parental leave and adoption/surrogacy assistance
  • An employee giving program that double matches your donations to eligible nonprofits and schools